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Roles and ResponsibilitiesAssistant Managers must understand client objectives and collaborate with the Project Lead to design effective analytical frameworks They should translate requirements into clear deliverables with defined priorities and constraints Responsibilities include managing data preparation performing quality checks and ensuring analysis readiness They should implement analytical techniques and machine learning methods such as regression decision trees segmentation forecasting and algorithms like Random Forest SVM and ANN They are expected to perform sanity checks and quality control of their own work as well as that of junior analysts to ensure accuracy The ability to interpret results in a business context and identify actionable insights is critical Assistant Managers should handle client communications independently and interact with onsite leads discussing deliverables and addressing queries over calls or video conferences They are responsible for managing the entire project lifecycle from initiation to delivery ensuring timelines and budgets are met This includes translating business requirements into technical specifications managing data teams ensuring data integrity and facilitating clear communication between business and technical stakeholders They should lead process improvements in analytics and act as project leads for cross-functional coordination Client ManagementThey serve as client leads maintaining strong relationships and making key decisions They participate in deliverable discussions and guide project teams on next steps and execution strategy Technical RequirementsAssistant Managers must know how to connect databases with Knime e g Snowflake SQL and understand SQL concepts such as joins and unions They should be able to read write data to and from databases and use macros and schedulers to automate workflows They must design and manage Knime ETL workflows to support BI tools and ensure end-to-end data validation and documentation Proficiency in PowerBI is required for building dashboards and supporting data-driven decision-making They must be capable of leading analytics projects using PowerBI Python and SQL to generate insights Visualizing key findings using PowerPoint or BI tools like Tableau or Qlikview is essential Ideal CandidateCandidates should have 4-7 years of experience in advanced analytics across Marketing CRM or Pricing in Retail or CPG Experience in other B2C domains is acceptable They must be skilled in handling large datasets using Python R or SAS and have worked with multiple analytics or machine learning techniques Comfort with client interactions and working independently is expected along with a valuable understanding of consumer sectors such as Retail CPG or Telecom They should have experience with various data formats and platforms including flat files RDBMS Knime workflows and server SQL Server Teradata Hadoop and Spark on-prem or in the cloud Basic knowledge of statistical and machine learning techniques like regression clustering decision trees forecasting e g ARIMA and other ML models is required Other SkillsStrong written and verbal communication is essential They should be capable of creating client-ready deliverables using Excel and PowerPoint Knowledge of optimization methods supply chain concepts VBA Excel Macros Tableau and Qlikview will be an added advantage Qualifications Engineers from top tier institutes IITs DCE NSIT NITs or Post Graduates in Maths Statistics OR from top Tier Colleges UniversitiesMBA from top tier B-schools Job Location .
Here's where they are and how to stand out in your next interview.
24.795Jobs
9.577IN
74%EN
That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.